Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"" (2024)
Faryna, Khrystyna; Tessier, Leslie; Retamero, Juan; Bonthu, Saikiran; Samanta, Pranab; Singhal, Nitin; Kammerer-jacquet, Solene-Florence; Radulescu, Camelia; Agosti, Vittorio; Leite, Katia Ramos Moreira 
Source: Modern Pathology. Unidade: FM
Subjects: APRENDIZAGEM PROFUNDA, PATOLOGIA, INTELIGÊNCIA ARTIFICIAL
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FARYNA, Khrystyna et al. Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"". Modern Pathology, v. 37, n. 11, 2024Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/79426. Acesso em: 25 abr. 2026.APA
Faryna, K., Tessier, L., Retamero, J., Bonthu, S., Samanta, P., Singhal, N., et al. (2024). Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"". Modern Pathology, 37( 11). doi:10.1016/j.modpat.2024.100563NLM
Faryna K, Tessier L, Retamero J, Bonthu S, Samanta P, Singhal N, Kammerer-jacquet S-F, Radulescu C, Agosti V, Leite KRM. Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"" [Internet]. Modern Pathology. 2024 ; 37( 11):[citado 2026 abr. 25 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79426Vancouver
Faryna K, Tessier L, Retamero J, Bonthu S, Samanta P, Singhal N, Kammerer-jacquet S-F, Radulescu C, Agosti V, Leite KRM. Evaluation of artificial intelligence-based gleason grading algorithms ""in the wild"" [Internet]. Modern Pathology. 2024 ; 37( 11):[citado 2026 abr. 25 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79426
